A Broad-Area Method for the Diurnal Characterisation of Upwelling Medium Wave Infrared Radiation

B.A. Hally, Luke Wallace, Karin Reinke, Simon D. Jones

Research output: Contribution to journalArticleAcademicpeer-review

13 Citations (Scopus)
22 Downloads (Pure)


Abstract: Fire detection from satellite sensors relies on an accurate estimation of the unperturbed
state of a target pixel, from which an anomaly can be isolated. Methods for estimating the radiation
budget of a pixel without fire depend upon training data derived from the location’s recent history
of brightness temperature variation over the diurnal cycle, which can be vulnerable to cloud
contamination and the effects of weather. This study proposes a new method that utilises the
common solar budget found at a given latitude in conjunction with an area’s local solar time to
aggregate a broad-area training dataset, which can be used to model the expected diurnal temperature
cycle of a location. This training data is then used in a temperature fitting process with the measured
brightness temperatures in a pixel, and compared to pixel-derived training data and contextual
methods of background temperature determination. Results of this study show similar accuracy between clear-sky medium wave infrared upwelling radiation and the diurnal temperature cycle estimation compared to previous methods, with demonstrable improvements in processing time and training data availability. This method can be used in conjunction with brightness temperature
thresholds to provide a baseline for upwelling radiation, from which positive thermal anomalies such as fire can be isolated.
Original languageEnglish
Article number167
Number of pages16
JournalRemote sensing
Issue number2
Publication statusPublished - 2017




Dive into the research topics of 'A Broad-Area Method for the Diurnal Characterisation of Upwelling Medium Wave Infrared Radiation'. Together they form a unique fingerprint.

Cite this